Evidence map›Paper›PMID 35444580›Full record

ArticleFrontiers in psychiatry2022

Integrating Evolutionary, Cultural, and Computational Psychiatry: A Multilevel Systemic Approach.

Axel Constant, Paul Badcock, Karl Friston, Laurence J Kirmayer

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Unpacking "the social": a cultural-ecosocial systems approach.Social psychiatry and psychiatric epidemiology · 2024
    Article
  7. Digital Being: social media and the predictive mind.Neuroscience of consciousness · 2024
    Article
  8. Cultural poetics of illness and healing.Transcultural psychiatry · 2023
    Article
  9. Do subtle cultural differences sculpt face pareidolia?Schizophrenia (Heidelberg, Germany) · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Axel ConstantDepartment of Philosophy, The University of Sydney, Darlington, NSW, Australia.
Paul BadcockCentre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
Karl FristonWellcome Centre for Human Neuroimaging, University College London, London, United Kingdom.
Laurence J KirmayerDepartment of Psychiatry, McGill University, Montréal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes an integrative perspective on evolutionary, cultural and computational approaches to psychiatry. These three approaches attempt to frame mental disorders as multiscale entities and offer modes of explanations and modeling strategies that can inform clinical practice. Although each of these perspectives involves systemic thinking, each is limited in its ability to address the complex developmental trajectories and larger social systemic interactions that lead to mental disorders. Inspired by computational modeling in theoretical biology, this paper aims to integrate the modes of explanation offered by evolutionary, cultural and computational psychiatry in a multilevel systemic perspective. We apply the resulting Evolutionary, Cultural and Computational (ECC) model to Major Depressive Disorder (MDD) to illustrate how this integrative approach can guide research and practice in psychiatry.

Indexed as

computational phenotypingcomputational psychiatrycultural psychiatryevolutionary psychiatrymajor depressive disorder (MDD)

Identifiers

PMID35444580
PMCPMC9013887

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.